Geo-Spatial Crime Analysis Using Newsfeed Data in Indian Context

Prathap Rudra Boppuru and Ramesha K.
Additional contact information
Prathap Rudra Boppuru: CHRIST (Deemed To be University), Bengaluru, India
Ramesha K.: Dr. Ambedkar Institute of Technology, Bangalore, India

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2019, vol. 14, issue 4, 49-64

Abstract: Social media is the platforms where users communicate, interact, share ideas, career interest, pictures, video, etc. Social media gives an opportunity to analyze the human behavior. Crime analysis using data from social media such as Newsfeeds, Facebook, Twitter, etc., is becoming one of the emerging areas of research for law enforcement organizations across the world. The intelligence gathered through data is used for identifying future attacks and plan for reinforcements. This article focuses on the implementation of textual data analytics by collecting the data from different newsfeeds and provides an optimized visualization. This article establishes a framework for better prediction of 16 types of crime in India and the Bangalore area by providing the coordinates of the crime area, along with the crime which might happen there.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJWLTT.2019100103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwltt0:v:14:y:2019:i:4:p:49-64

Access Statistics for this article

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

More articles in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().